Senior Machine Learning Research Scientist - SAIL with Security Clearance

Position Overview

At the SEI AI Division, we conduct research in applied artificial intelligence and tackle the engineering challenges of designing and implementing AI systems. As a Senior Machine Learning Research Scientist in the Secure AI Lab, you will investigate vulnerabilities in AI and ML algorithms and develop techniques to secure them. Working within a world‐class research environment at Carnegie Mellon University, you will help build real‐world, mission‐scale AI capabilities for government customers, addressing complex challenges in AI Engineering for Defense and National Security.

Are you creative, curious, and technology-focused? If so, apply to join our team and make a difference by bringing innovation to government organizations and beyond.

Key Responsibilities

• Conduct and lead novel research in applied machine learning and artificial intelligence with a focus on algorithm vulnerabilities and defenses.
• Investigate emerging AI and AI-adjacent technologies and define processes to secure AI systems.
• Study threat models and develop innovative strategies to subvert and defend AI and ML algorithms.
• Transition research findings into prototype operational capabilities for government customers.
• Collaborate with interdisciplinary teams, mentoring team members and influencing strategy across the SEI AI Division.

Required Qualifications

• A bachelor's degree in computer science, statistics, machine learning, electrical engineering (with 10 years of experience); OR an MS (8 years of experience); OR a PhD (5 years of experience) in a related field.
• Comprehensive knowledge of machine learning with a proven track record of impactful research and publication.
• Experience leading research projects in novel areas and developing operational capabilities from research insights.
• Strong written and verbal communication skills with the ability to simplify complex technical ideas.
• Ability to work collaboratively with leadership and interdisciplinary teams.
• Willingness to obtain and maintain an active Department of War security clearance and to work onsite 5 days per week.
• Willingness to travel up to 25% for SEI offices, sponsor sites, and conferences.

Preferred Qualifications

• Experience in adversarial machine learning is highly desirable.
• Demonstrated ability in writing funding proposals or pitching innovative research ideas.
• A strong background in publishing technical artifacts and mentoring junior researchers.

Benefits & Perks

• Competitive Compensation and a comprehensive benefits package.
• Opportunities for professional growth and development.
• Collaborative work environment with leading experts in AI research.
• Access to world-class research facilities at Carnegie Mellon University.